Danau5tin/terminal-tasks
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How to use ncls-p/Orca-Agent-v0.1-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Orca-Agent-v0.1-mlx-4Bit ncls-p/Orca-Agent-v0.1-mlx-4Bit
The Model ncls-p/Orca-Agent-v0.1-mlx-4Bit was converted to MLX format from Danau5tin/Orca-Agent-v0.1 using mlx-lm version 0.26.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ncls-p/Orca-Agent-v0.1-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
4-bit